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href="/core/journals/prehospital-and-disaster-medicine/article/applications-and-performance-of-machine-learning-algorithms-in-emergency-medical-services-a-scoping-review/CD0D2CCA5416B133FE25DA5163C810AA"> Applications and Performance of Machine Learning Algorithms in Emergency Medical Services: A Scoping Review </a></h3></li> <li></li> <li class="author"> <a href="/core/search?filters%5BauthorTerms%5D=Ahmad Alrawashdeh&eventCode=SE-AU" class="more-by-this-author ">Ahmad Alrawashdeh</a><span class="separator">, </span><a href="/core/search?filters%5BauthorTerms%5D=Saeed Alqahtani&eventCode=SE-AU" class="more-by-this-author ">Saeed Alqahtani</a><span class="separator">, </span><a href="/core/search?filters%5BauthorTerms%5D=Zaid I. Alkhatib&eventCode=SE-AU" class="more-by-this-author ">Zaid I. Alkhatib</a><span class="separator">, </span><a href="/core/search?filters%5BauthorTerms%5D=Khalid Kheirallah&eventCode=SE-AU" class="more-by-this-author ">Khalid Kheirallah</a><span class="separator">, </span><a href="/core/search?filters%5BauthorTerms%5D=Nebras Y. Melhem&eventCode=SE-AU" class="more-by-this-author ">Nebras Y. Melhem</a><span class="separator">, </span><a href="/core/search?filters%5BauthorTerms%5D=Mahmoud Alwidyan&eventCode=SE-AU" class="more-by-this-author ">Mahmoud Alwidyan</a><span class="separator">, </span><a href="/core/search?filters%5BauthorTerms%5D=Arwa M. Al-Dekah&eventCode=SE-AU" class="more-by-this-author ">Arwa M. Al-Dekah</a><span class="separator">, </span><a href="/core/search?filters%5BauthorTerms%5D=Talal Alshammari&eventCode=SE-AU" class="more-by-this-author ">Talal Alshammari</a><span class="separator">, </span><a href="/core/search?filters%5BauthorTerms%5D=Ziad Nehme&eventCode=SE-AU" class="more-by-this-author ">Ziad Nehme</a> </li> <li> <dl> <dt class="source dl-inline">Journal: </dt> <dd> <a class="productParent" data-prod-id="8469968A8290DADF03863DDCD42A83CD" href="/core/journals/prehospital-and-disaster-medicine">Prehospital and Disaster Medicine</a> , <a href="/core/product/8469968A8290DADF03863DDCD42A83CD/firstview">First View</a> </dd> <dt class="published dl-inline">Published online by Cambridge University Press: </dt> <dd> <span class="date"> 17 May 2024</span><span class="pages">, pp. 1-11</span> </dd> </dl> </li> <li> <ul class="access links"> <li class="type article">Article</li> <li> <ul class="access-modal"> <li class="status entitled"> <span class="sr-only">You have access </span> <span class="entitled status-text" title="You have access to this product" aria-hidden="true">Access</span> <span class="icon access-icon cursorDefault" title="You have access to this product" aria-hidden="true"> <svg id="access-CD0D2CCA5416B133FE25DA5163C810AA" xmlns="http://www.w3.org/2000/svg" viewBox="-701.2 242.7 206.9 328.3"> <circle class="st0" fill="#229619" cx="-597.9" cy="413.8" r="102.5"/> <path class="st1" fill="#fff" d="M-616 472.4l-49.6-49.6 26.5-26.5 23.1 23 59.3-59.3 26.5 26.5z"/> </svg> </span> </li> <li class="status open-access"> <span class="icon access open-access cursorDefault"></span>Open access </li> </ul> </li> <li> <a href="/core/services/aop-cambridge-core/content/view/CD0D2CCA5416B133FE25DA5163C810AA/S1049023X24000414a.pdf/applications_and_performance_of_machine_learning_algorithms_in_emergency_medical_services_a_scoping_review.pdf" data-pdf-content-id="CD0D2CCA5416B133FE25DA5163C810AA" target="_blank" aria-label="Download PDF for Applications and Performance of Machine Learning Algorithms in Emergency Medical Services: A Scoping Review [Opens in a new window]" > <span class="icon icn pdf"> <span class="download-label">PDF </span> </span> </a> </li> <li> <a href="/core/product/CD0D2CCA5416B133FE25DA5163C810AA/core-reader" target="_blank" aria-label="View HTML full text for Applications and Performance of Machine Learning Algorithms in Emergency Medical Services: A Scoping Review [Opens in a new window]" data-cup-event-payload='{"eventCode":"DL-AR","eventContext":"/core/search?filters[authorTerms]=Nebras","productId":"CD0D2CCA5416B133FE25DA5163C810AA","referringURL":"","authenticationMethods":[],"usedIdentities":["0"],"searchScope":"PRODUCT"}'> <span class="icon icn html wide"> <span class="download-label">HTML</span> </span> </a> </li> <li> <script> $(document).ready(function () { /** * Disable tooltip aria label attributes, so the screen reader can correctly read out the core * reader tab navigation. * Set a short delay, so we can be sure the tooltips have rendered, before updating the DOM. */ setTimeout(function () { var $downloadLinks = $('.download-types li a'); if ($downloadLinks.length) { $downloadLinks.attr('role', 'tab'); $downloadLinks.attr('aria-describedby', ''); // Remove the aria alerts on the tool tips $('.qtip').attr('role', 'none'); } }, 500); }); </script> </li> <li><a href="#" class="export-citation-component" data-prod-id="CD0D2CCA5416B133FE25DA5163C810AA" data-container="representation" aria-label="Export citation for Applications and Performance of Machine Learning Algorithms in Emergency Medical Services: A Scoping Review">Export citation </a></li> </ul> </li> <li class="accordion no-margin-top abstract" data-accordion> <div class="accordion-navigation"> <button onclick="toggleViewHide(this, 'abstractS1049023X24000414')" class="button-no-transition transparent-no-border" aria-expanded="false" aria-label="View Abstract for Applications and Performance of Machine Learning Algorithms in Emergency Medical Services: A Scoping Review" data-cup-event='{"eventCode":"IN-AR","eventContext":"/core/search?filters[authorTerms]=Nebras","usedIdentities":[],"authenticationMethods":[],"referringURL":"","eventType":"VADE","searchScope":"PRODUCT","productId":"CD0D2CCA5416B133FE25DA5163C810AA"}' data-cup-event-disable-on-hide="true" > <div class="icon open-drawer small"> <svg xmlns="http://www.w3.org/2000/svg" width="15" height="15" viewBox="0 0 17 17" class="is-opened"> <circle fill="#696969" cx="8.5" cy="8.5" r="7.5"/> <circle fill="#FFF" cx="8.5" cy="8.5" r="7"/> <path fill="#696969" d="M12.6 7.3H4.4c-.8 0-1.4.5-1.4 1.2s.6 1.2 1.4 1.2h8.3c.8 0 1.4-.5 1.4-1.2-.1-.7-.7-1.2-1.5-1.2z"/> </svg> <svg xmlns="http://www.w3.org/2000/svg" width="15" height="15" viewBox="0 0 15 15" class="is-closed"> <g transform="translate(1 1)" fill="none" fill-rule="evenodd"> <circle fill="#696969" cx="6.5" cy="6.5" r="6.5"/> <circle fill="#FFF" cx="6.5" cy="6.5" r="6"/> <path d="M9.855 5.518H7.482V3.145C7.482 2.491 7.072 2 6.5 2c-.573 0-.982.49-.982 1.145V5.518H3.145C2.491 5.518 2 5.928 2 6.5c0 .573.49.982 1.145.982H5.518v2.372c0 .655.41 1.146.982 1.146.573 0 .982-.49.982-1.145V7.482h2.372c.655 0 1.146-.41 1.146-.982 0-.573-.49-.982-1.145-.982z" fill="#696969"/> </g> </svg> <span class="toggle-text">View </span> <span class="excerpt-type">abstract</span> </div> </button> <div id="abstractS1049023X24000414" class="content"> <div class="abstract" data-abstract-type="normal"><div class='sec'><span class="bold">Objective:</span><p>The aim of this study was to summarize the literature on the applications of machine learning (ML) and their performance in Emergency Medical Services (EMS).</p></div><div class='sec'><span class="bold">Methods:</span><p>Four relevant electronic databases were searched (from inception through January 2024) for all original studies that employed EMS-guided ML algorithms to enhance the clinical and operational performance of EMS. Two reviewers screened the retrieved studies and extracted relevant data from the included studies. The characteristics of included studies, employed ML algorithms, and their performance were quantitively described across primary domains and subdomains.</p></div><div class='sec'><span class="bold">Results:</span><p>This review included a total of 164 studies published from 2005 through 2024. Of those, 125 were clinical domain focused and 39 were operational. The characteristics of ML algorithms such as sample size, number and type of input features, and performance varied between and within domains and subdomains of applications. Clinical applications of ML algorithms involved triage or diagnosis classification (n = 62), treatment prediction (n = 12), or clinical outcome prediction (n = 50), mainly for out-of-hospital cardiac arrest/OHCA (n = 62), cardiovascular diseases/CVDs (n = 19), and trauma (n = 24). The performance of these ML algorithms varied, with a median area under the receiver operating characteristic curve (AUC) of 85.6%, accuracy of 88.1%, sensitivity of 86.05%, and specificity of 86.5%. Within the operational studies, the operational task of most ML algorithms was ambulance allocation (n = 21), followed by ambulance detection (n = 5), ambulance deployment (n = 5), route optimization (n = 5), and quality assurance (n = 3). The performance of all operational ML algorithms varied and had a median AUC of 96.1%, accuracy of 90.0%, sensitivity of 94.4%, and specificity of 87.7%. Generally, neural network and ensemble algorithms, to some degree, out-performed other ML algorithms.</p></div><div class='sec'><span class="bold">Conclusion:</span><p>Triaging and managing different prehospital medical conditions and augmenting ambulance performance can be improved by ML algorithms. Future reports should focus on a specific clinical condition or operational task to improve the precision of the performance metrics of ML models.</p></div></div> </div> </div> </li> </ul> </div> <div class="small-6 medium-1 large-1 right hide-for-small altmetric-embed altmetric-core-desktop" data-badge-type='donut' data-hide-less-than="1" data-doi="10.1017/S1049023X24000414" data-link-target="_blank"></div> <div class="small-6 columns right text-center hide-for-medium-up altmetric-embed altmetric-core-mobile" data-badge-type='donut' data-hide-less-than="1" data-doi="10.1017/S1049023X24000414" data-link-target="_blank"></div> </div> <!-- /listing item --> </div> </div> </div> </div> <hr /> <div class="representation overview search" data-prod-id="FCF03654CA22F7529A0F76B60A7D729D"> <div class="row product-section" data-test-id="searchItem" data-test-title="Emerging Neurotechnologies Implications for Professional Relations and Communication"> <div class="small-1 columns checklist-col"> <label class="product-listing-with-inputs-input"> <input type="checkbox" name="productParts" style="display: inline-block" data-prod-id="FCF03654CA22F7529A0F76B60A7D729D" data-prod-source="search" data-prod-type="JOURNAL_ARTICLE" data-file-size="268165" data-has-entitlement="true" data-has-pdf="true" data-cup-event-payload='{"eventCode":"DL-AR","eventContext":"/core/search?filters[authorTerms]=Nebras","productId":"FCF03654CA22F7529A0F76B60A7D729D","referringURL":"","authenticationMethods":[],"usedIdentities":["0"],"searchScope":"PRODUCT"}' /> </label> </div> <div class="small-11 columns"> <div class="row"> <!-- listing item --> <div class="product-listing-with-inputs-content"> <div class="small-10 columns margin-bottom"> <ul class="details"> <li class="title"><h3><a class="part-link" href="/core/journals/canadian-journal-of-neurological-sciences/article/emerging-neurotechnologies-implications-for-professional-relations-and-communication/FCF03654CA22F7529A0F76B60A7D729D"> Emerging Neurotechnologies: Implications for Professional Relations and Communication </a></h3></li> <li></li> <li class="author"> <a href="/core/search?filters%5BauthorTerms%5D=Hrishikesh Suresh&eventCode=SE-AU" class="more-by-this-author ">Hrishikesh Suresh</a><span class="separator">, </span><a href="/core/search?filters%5BauthorTerms%5D=Nebras M. Warsi&eventCode=SE-AU" class="more-by-this-author ">Nebras M. Warsi</a><span class="separator">, </span><a href="/core/search?filters%5BauthorTerms%5D=Tejas Sankar&eventCode=SE-AU" class="more-by-this-author ">Tejas Sankar</a><span class="separator">, </span><a href="/core/search?filters%5BauthorTerms%5D=George M. Ibrahim&eventCode=SE-AU" class="more-by-this-author ">George M. Ibrahim</a> </li> <li> <dl> <dt class="source dl-inline">Journal: </dt> <dd> <a class="productParent" data-prod-id="A15C3D1075D5ECE8B8BA8069337C929A" href="/core/journals/canadian-journal-of-neurological-sciences">Canadian Journal of Neurological Sciences</a> / Volume 50 / <a href="/core/product/86F9CC40EC0ACC56695DD363D400A1E1" class="productParent" data-prod-id="86F9CC40EC0ACC56695DD363D400A1E1">Issue s1</a> / June 2023 </dd> <dt class="published dl-inline">Published online by Cambridge University Press: </dt> <dd> <span class="date"> 10 May 2023</span><span class="pages">, pp. s4-s9</span> </dd> </dl> </li> <li> <ul class="access links"> <li class="type article">Article</li> <li> <ul class="access-modal"> <li class="status entitled"> <span class="sr-only">You have access </span> <span class="entitled status-text" title="You have access to this product" aria-hidden="true">Access</span> <span class="icon access-icon cursorDefault" title="You have access to this product" aria-hidden="true"> <svg id="access-FCF03654CA22F7529A0F76B60A7D729D" xmlns="http://www.w3.org/2000/svg" viewBox="-701.2 242.7 206.9 328.3"> <circle class="st0" fill="#229619" cx="-597.9" cy="413.8" r="102.5"/> <path class="st1" fill="#fff" d="M-616 472.4l-49.6-49.6 26.5-26.5 23.1 23 59.3-59.3 26.5 26.5z"/> </svg> </span> </li> <li class="status open-access"> <span class="icon access open-access cursorDefault"></span>Open access </li> </ul> </li> <li> <a href="/core/services/aop-cambridge-core/content/view/FCF03654CA22F7529A0F76B60A7D729D/S0317167122003390a.pdf/emerging_neurotechnologies_implications_for_professional_relations_and_communication.pdf" data-pdf-content-id="FCF03654CA22F7529A0F76B60A7D729D" target="_blank" aria-label="Download PDF for Emerging Neurotechnologies: Implications for Professional Relations and Communication [Opens in a new window]" > <span class="icon icn pdf"> <span class="download-label">PDF </span> </span> </a> </li> <li> <a href="/core/product/FCF03654CA22F7529A0F76B60A7D729D/core-reader" target="_blank" aria-label="View HTML full text for Emerging Neurotechnologies: Implications for Professional Relations and Communication [Opens in a new window]" data-cup-event-payload='{"eventCode":"DL-AR","eventContext":"/core/search?filters[authorTerms]=Nebras","productId":"FCF03654CA22F7529A0F76B60A7D729D","referringURL":"","authenticationMethods":[],"usedIdentities":["0"],"searchScope":"PRODUCT"}'> <span class="icon icn html wide"> <span class="download-label">HTML</span> </span> </a> </li> <li> <script> $(document).ready(function () { /** * Disable tooltip aria label attributes, so the screen reader can correctly read out the core * reader tab navigation. * Set a short delay, so we can be sure the tooltips have rendered, before updating the DOM. */ setTimeout(function () { var $downloadLinks = $('.download-types li a'); if ($downloadLinks.length) { $downloadLinks.attr('role', 'tab'); $downloadLinks.attr('aria-describedby', ''); // Remove the aria alerts on the tool tips $('.qtip').attr('role', 'none'); } }, 500); }); </script> </li> <li><a href="#" class="export-citation-component" data-prod-id="FCF03654CA22F7529A0F76B60A7D729D" data-container="representation" aria-label="Export citation for Emerging Neurotechnologies: Implications for Professional Relations and Communication">Export citation </a></li> </ul> </li> <li class="accordion no-margin-top abstract" data-accordion> <div class="accordion-navigation"> <button onclick="toggleViewHide(this, 'abstractS0317167122003390')" class="button-no-transition transparent-no-border" aria-expanded="false" aria-label="View Abstract for Emerging Neurotechnologies: Implications for Professional Relations and Communication" data-cup-event='{"eventCode":"IN-AR","eventContext":"/core/search?filters[authorTerms]=Nebras","usedIdentities":[],"authenticationMethods":[],"referringURL":"","eventType":"VADE","searchScope":"PRODUCT","productId":"FCF03654CA22F7529A0F76B60A7D729D"}' data-cup-event-disable-on-hide="true" > <div class="icon open-drawer small"> <svg xmlns="http://www.w3.org/2000/svg" width="15" height="15" viewBox="0 0 17 17" class="is-opened"> <circle fill="#696969" cx="8.5" cy="8.5" r="7.5"/> <circle fill="#FFF" cx="8.5" cy="8.5" r="7"/> <path fill="#696969" d="M12.6 7.3H4.4c-.8 0-1.4.5-1.4 1.2s.6 1.2 1.4 1.2h8.3c.8 0 1.4-.5 1.4-1.2-.1-.7-.7-1.2-1.5-1.2z"/> </svg> <svg xmlns="http://www.w3.org/2000/svg" width="15" height="15" viewBox="0 0 15 15" class="is-closed"> <g transform="translate(1 1)" fill="none" fill-rule="evenodd"> <circle fill="#696969" cx="6.5" cy="6.5" r="6.5"/> <circle fill="#FFF" cx="6.5" cy="6.5" r="6"/> <path d="M9.855 5.518H7.482V3.145C7.482 2.491 7.072 2 6.5 2c-.573 0-.982.49-.982 1.145V5.518H3.145C2.491 5.518 2 5.928 2 6.5c0 .573.49.982 1.145.982H5.518v2.372c0 .655.41 1.146.982 1.146.573 0 .982-.49.982-1.145V7.482h2.372c.655 0 1.146-.41 1.146-.982 0-.573-.49-.982-1.145-.982z" fill="#696969"/> </g> </svg> <span class="toggle-text">View </span> <span class="excerpt-type">abstract</span> </div> </button> <div id="abstractS0317167122003390" class="content"> <div class="abstract" data-abstract-type="normal"> <p>Rapid advances in neurotechnology and neurosurgery are positioned to revolutionize care for patients suffering from debilitating neurological and psychiatric disease. Enthusiasm for the adoption of these technologies is tempered by ethical dilemmas regarding resource allocation, provision of care, communication with patients and other providers, and other potential pitfalls. In the present work, we discuss bioethical implications of novel neurotechnologies for medical practice. In particular, we examine the implications of neurotechnological advancement through the lens of professional communication. Emerging challenges within this domain are presented in the context of physician interactions with four key partners: (i) patients; (ii) other physicians; (iii) industry; and (iv) society-at-large. Anticipated issues as well as mitigation strategies are discussed as they relate to communication with these stakeholders.</p> </div> </div> </div> </li> </ul> </div> <div class="small-6 medium-1 large-1 right hide-for-small altmetric-embed altmetric-core-desktop" data-badge-type='donut' data-hide-less-than="1" data-doi="10.1017/cjn.2022.339" data-link-target="_blank"></div> <div class="small-6 columns right text-center hide-for-medium-up altmetric-embed altmetric-core-mobile" data-badge-type='donut' data-hide-less-than="1" data-doi="10.1017/cjn.2022.339" data-link-target="_blank"></div> </div> <!-- /listing item --> </div> </div> </div> </div> <hr /> <div class="representation overview search" data-prod-id="0B716FD9D62A9B28BEA6F8DC78566628"> <div class="row product-section" data-test-id="searchItem" data-test-title="Spinal Longitudinal Epidural Collections in Intracranial Hypotension"> <div class="small-1 columns checklist-col"> <label class="product-listing-with-inputs-input"> <input type="checkbox" name="productParts" style="display: inline-block" data-prod-id="0B716FD9D62A9B28BEA6F8DC78566628" data-prod-source="search" data-prod-type="JOURNAL_ARTICLE" data-file-size="160969" data-has-entitlement="true" data-has-pdf="true" data-cup-event-payload='{"eventCode":"DL-AR","eventContext":"/core/search?filters[authorTerms]=Nebras","productId":"0B716FD9D62A9B28BEA6F8DC78566628","referringURL":"","authenticationMethods":[],"usedIdentities":["0"],"searchScope":"PRODUCT"}' /> </label> </div> <div class="small-11 columns"> <div class="row"> <!-- listing item --> <div class="product-listing-with-inputs-content"> <div class="small-10 columns margin-bottom"> <ul class="details"> <li class="title"><h3><a class="part-link" href="/core/journals/canadian-journal-of-neurological-sciences/article/spinal-longitudinal-epidural-collections-in-intracranial-hypotension/0B716FD9D62A9B28BEA6F8DC78566628"> Spinal Longitudinal Epidural Collections in Intracranial Hypotension </a></h3></li> <li></li> <li class="author"> <a href="/core/search?filters%5BauthorTerms%5D=Nebras M. 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Kalia</a> </li> <li> <dl> <dt class="source dl-inline">Journal: </dt> <dd> <a class="productParent" data-prod-id="A15C3D1075D5ECE8B8BA8069337C929A" href="/core/journals/canadian-journal-of-neurological-sciences">Canadian Journal of Neurological Sciences</a> / Volume 49 / <a href="/core/product/16BB3AEBD526738C1A017DE76ACB7634" class="productParent" data-prod-id="16BB3AEBD526738C1A017DE76ACB7634">Issue 2</a> / March 2022 </dd> <dt class="published dl-inline">Published online by Cambridge University Press: </dt> <dd> <span class="date"> 05 April 2021</span><span class="pages">, pp. 272-273</span> </dd> </dl> </li> <li> <ul class="access links"> <li class="type article">Article</li> <li> <ul class="access-modal"> <li class="status entitled"> <span class="sr-only">You have access </span> <span class="entitled status-text" title="You have access to this product" aria-hidden="true">Access</span> <span class="icon access-icon cursorDefault" title="You have access to this product" aria-hidden="true"> <svg id="access-0B716FD9D62A9B28BEA6F8DC78566628" xmlns="http://www.w3.org/2000/svg" viewBox="-701.2 242.7 206.9 328.3"> <circle class="st0" fill="#229619" cx="-597.9" cy="413.8" r="102.5"/> <path class="st1" fill="#fff" d="M-616 472.4l-49.6-49.6 26.5-26.5 23.1 23 59.3-59.3 26.5 26.5z"/> </svg> </span> </li> <li class="status open-access"> </li> </ul> </li> <li> <a href="/core/services/aop-cambridge-core/content/view/0B716FD9D62A9B28BEA6F8DC78566628/S0317167121000585a.pdf/spinal_longitudinal_epidural_collections_in_intracranial_hypotension.pdf" data-pdf-content-id="0B716FD9D62A9B28BEA6F8DC78566628" target="_blank" aria-label="Download PDF for Spinal Longitudinal Epidural Collections in Intracranial Hypotension [Opens in a new window]" > <span class="icon icn pdf"> <span class="download-label">PDF </span> </span> </a> </li> <li> <a href="/core/product/0B716FD9D62A9B28BEA6F8DC78566628/core-reader" target="_blank" aria-label="View HTML full text for Spinal Longitudinal Epidural Collections in Intracranial Hypotension [Opens in a new window]" data-cup-event-payload='{"eventCode":"DL-AR","eventContext":"/core/search?filters[authorTerms]=Nebras","productId":"0B716FD9D62A9B28BEA6F8DC78566628","referringURL":"","authenticationMethods":[],"usedIdentities":["0"],"searchScope":"PRODUCT"}'> <span class="icon icn html wide"> <span class="download-label">HTML</span> </span> </a> </li> <li> <script> $(document).ready(function () { /** * Disable tooltip aria label attributes, so the screen reader can correctly read out the core * reader tab navigation. * Set a short delay, so we can be sure the tooltips have rendered, before updating the DOM. */ setTimeout(function () { var $downloadLinks = $('.download-types li a'); 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if ($downloadLinks.length) { $downloadLinks.attr('role', 'tab'); $downloadLinks.attr('aria-describedby', ''); // Remove the aria alerts on the tool tips $('.qtip').attr('role', 'none'); } }, 500); }); </script> </li> <li><a href="#" class="export-citation-component" data-prod-id="703DDF83222309D2D7A194C58B3DA540" data-container="representation" aria-label="Export citation for The Cost-Effectiveness of 5-ALA in High-Grade Glioma Surgery: A Quality-Based Systematic Review">Export citation </a></li> </ul> </li> <li class="accordion no-margin-top abstract" data-accordion> <div class="accordion-navigation"> <button onclick="toggleViewHide(this, 'abstractS0317167120000785')" class="button-no-transition transparent-no-border" aria-expanded="false" aria-label="View Abstract for The Cost-Effectiveness of 5-ALA in High-Grade Glioma Surgery: A Quality-Based Systematic Review" data-cup-event='{"eventCode":"IN-AR","eventContext":"/core/search?filters[authorTerms]=Nebras","usedIdentities":[],"authenticationMethods":[],"referringURL":"","eventType":"VADE","searchScope":"PRODUCT","productId":"703DDF83222309D2D7A194C58B3DA540"}' data-cup-event-disable-on-hide="true" > <div class="icon open-drawer small"> <svg xmlns="http://www.w3.org/2000/svg" width="15" height="15" viewBox="0 0 17 17" class="is-opened"> <circle fill="#696969" cx="8.5" cy="8.5" r="7.5"/> <circle fill="#FFF" cx="8.5" cy="8.5" r="7"/> <path fill="#696969" d="M12.6 7.3H4.4c-.8 0-1.4.5-1.4 1.2s.6 1.2 1.4 1.2h8.3c.8 0 1.4-.5 1.4-1.2-.1-.7-.7-1.2-1.5-1.2z"/> </svg> <svg xmlns="http://www.w3.org/2000/svg" width="15" height="15" viewBox="0 0 15 15" class="is-closed"> <g transform="translate(1 1)" fill="none" fill-rule="evenodd"> <circle fill="#696969" cx="6.5" cy="6.5" r="6.5"/> <circle fill="#FFF" cx="6.5" cy="6.5" r="6"/> <path d="M9.855 5.518H7.482V3.145C7.482 2.491 7.072 2 6.5 2c-.573 0-.982.49-.982 1.145V5.518H3.145C2.491 5.518 2 5.928 2 6.5c0 .573.49.982 1.145.982H5.518v2.372c0 .655.41 1.146.982 1.146.573 0 .982-.49.982-1.145V7.482h2.372c.655 0 1.146-.41 1.146-.982 0-.573-.49-.982-1.145-.982z" fill="#696969"/> </g> </svg> <span class="toggle-text">View </span> <span class="excerpt-type">abstract</span> </div> </button> <div id="abstractS0317167120000785" class="content"> <div class="abstract" data-abstract-type="normal"><div class='sec'><span class="bold">Background:</span><p>High-grade gliomas (HGGs) are aggressive tumors that inevitably recur due to their diffusely infiltrative nature. Intraoperative adjuncts such as 5-aminolevulinic acid (5-ALA) have shown promise in increasing extent of resection. As the prospect of increased use of 5-ALA rises, a systematic overview of the health economics of this adjunct is critical.</p></div><div class='sec'><span class="bold">Methods:</span><p>Medline, EMBASE, Centre for Reviews and Dissemination, EconPapers, and Cochrane databases were searched for keywords relating to glioma, cost-effectiveness, and 5-ALA. Primary studies reporting on the health economics or cost-effectiveness of 5-ALA compared to white light surgery in HGG were included. Quality was assessed using the <span class='italic'>British Medical Journal</span> guidelines.</p></div><div class='sec'><span class="bold">Results:</span><p>Three studies were identified. All were European and conducted from the perspective of national healthcare systems. Two studies demonstrated the cost-utility of 5-ALA compared to white light (C$12,817 and C$13,508/quality-adjusted life-years (QALYs)). One assessed the cost-utility per gross total resection (C$6,813). Both these values were below the national cost-effectiveness thresholds for each respective study. The third study demonstrated no significant difference in cost of 5-ALA in glioblastoma resection (C$14,732) compared to prior to its routine use (C$15,936). The quality of these studies ranged from moderate to average. None of these studies considered patient perspective or indirect costs in their analysis.</p></div><div class='sec'><span class="bold">Conclusions:</span><p>Growing evidence exists examining the health economic benefit of 5-ALA as an intraoperative adjunct for HGG resection. Additional studies within the Canadian context using 5-ALA, specifically incorporating patient and societal perspectives into the cost-utility analyses, are necessary to solidify this line of evidence.</p></div></div> </div> </div> </li> </ul> </div> <div class="small-6 medium-1 large-1 right hide-for-small altmetric-embed altmetric-core-desktop" data-badge-type='donut' data-hide-less-than="1" data-doi="10.1017/cjn.2020.78" data-link-target="_blank"></div> <div class="small-6 columns right text-center hide-for-medium-up altmetric-embed altmetric-core-mobile" data-badge-type='donut' data-hide-less-than="1" data-doi="10.1017/cjn.2020.78" data-link-target="_blank"></div> </div> <!-- /listing item --> </div> </div> </div> </div> <hr /> </div> </div> <div id="loadmoreajaxloader" style="display:none;"><img src="/core/cambridge-core/public/images/lazy-loader.gif"/> </div> </div> </div> </div> </div> </section> <div id="recommendProduct" class="reveal-modal large" data-reveal role="dialog" 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